A machine learning web application that estimates annual salary using experience, education, skills, job role, company size, and location.
Core modules included in the salary prediction system
Uses a trained Random Forest Regression model to estimate salary.
Users enter job title, experience, education, skills, company size, and location.
Model is trained on 250,000 salary records for better estimation.
Simple process from user input to salary result
User fills employee information through the prediction form.
Flask sends input to the trained machine learning model.
System displays estimated annual salary instantly.